Textile Technology for Soft Robotic and Autonomous Garments

Abstract

Textiles have emerged as a promising class of materials for developing wearable robots that move and feel like everyday clothing. Textiles represent a favorable material platform for wearable robots due to their flexibility, low weight, breathability, and soft hand‐feel. Textiles also offer a unique level of programmability because of their inherent hierarchical nature, enabling researchers to modify and tune properties at several interdependent material scales. With these advantages and capabilities in mind, roboticists have begun to use textiles, not simply as substrates, but as functional components that program actuation and sensing. In parallel, materials scientists are developing new materials that respond to thermal, electrical, and hygroscopic stimuli by leveraging textile structures for function. Although textiles are one of humankind's oldest technologies, materials scientists and roboticists are just beginning to tap into their potential. This review provides a textile‐centric survey of the current state of the art in wearable robotic garments and highlights metrics that will guide materials development. Recent advances in textile materials for robotic components (i.e., as sensors, actuators, and integration components) are described with a focus on how these materials and technologies set the stage for wearable robots programmed at the material level.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 10, 2020
Source ID
10.1002/adfm.202008278

Entities

People

  • Conor J. Walsh
  • Robert J Wood
  • Vanessa Sanchez

Organizations

  • Harvard School of Engineering and Applied Sciences
  • Office of Emerging Frontiers and Multidisciplinary Activities
  • United States Department of Defense
  • Wyss Institute for Biologically Inspired Engineering

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Materials Science
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy